Review of "Old Enough to Say What I Want: An Autobiography"
Bibliographic record
Abstract
If you're like me, a Royal Canadian Air Farce fan, then you will agree that "Old Enough to Say What I Want: An Autobiography" by Dave Broadfoot is among the most enjoyable books you'll ever read.Broadfoot delightfully describes a life that could have been stultifying.He has a survivor's knack to find and to share humour in life's pompous absurdities.This is his salvation.Salvation is the conflict in Broadfoot's life.He opens with, "I would have preferred to have been born into a family of fun-loving atheists, but that's not how it turned out."This conflict is the font of his creativity.Broadfoot loves his parents and his three sisters.He is the youngest of four, and the sole male.He is the only sibling to choose an entertainer's life.His sisters devoted their lives to missionary and evangelical works.His mother was a saintly homemaker.He was born in North Vancouver, in 1925.His parents were both born in Britain.Like many new Canadians, they came to Canada out of necessity, not by choice.Broadfoot is a first generation Canadian which creates a cultural barrier between him and his parents.Broadfoot explores his relationship with his parents and relationships within families.He asks, "to what extent must parents sacrifice their interests and values for the sake of their children?"
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".